Music Playlist Generation using Facial Expression Analysis and Task Extraction

Arnaja Sen, Dhaval Popat, Hardik Shah, Priyanka Kuwor, Era Johri

Abstract


In day to day stressful environment of IT Industry, there is a truancy for the appropriate relaxation time for all working professionals. To keep a person stress free, various technical or non-technical stress releasing methods are now being adopted. We can categorize the people working on computers as administrators, programmers, etc. each of whom require varied ways in order to ease themselves. The work pressure and the vexation of any kind for a person can be depicted by their emotions. Facial expressions are the key to analyze the current psychology of the person. In this paper, we discuss a user intuitive smart music player. This player will capture the facial expressions of a person working on the computer and identify the current emotion. Intuitively the music will be played for the user to relax them. The music player will take into account the foreground processes which the person is executing on the computer. Since various sort of music is available to boost one's enthusiasm, taking into consideration the tasks executed on the system by the user and the current emotions they carry, an ideal playlist of songs will be created and played for the person. The person can browse the playlist and modify it to make the system more flexible. This music player will thus allow the working professionals to stay relaxed in spite of their workloads.


Keywords


facial expression analysis, emotion recognition, feature extraction, viola jones face detection, gabor filter, adaboost, k-NN algorithm, task extraction, music classification, playlist generation)

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References


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DOI: http://dx.doi.org/10.17951/ai.2016.16.2.1
Data publikacji: 2017-12-22 09:38:04
Data złożenia artykułu: 2017-12-18 13:57:14

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Copyright (c) 2017 Arnaja Sen, Dhaval Popat, Hardik Shah, Priyanka Kuwor, Era Johri

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